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Computational Biology Engineering Intern Jobs (NOW HIRING)

The University Of Chicago

Experience using Python, Perl, or other programming languages for computational biology, bioinformatics, or biological data analysis. * Experience: Experience working in Unix/Linux environments and ...

Marlabs Inc.

Computational Biology MLOps Engineer

San Diego, CA · On-site

$118K - $139K/yr

... engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences ... Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ...

Marlabs

Computational Biology MLOps Engineer

San Diego, CA · On-site +1

$118K - $139K/yr

... engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences ... Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ...

Onebridge

Computational Biology MLOps Engineer

San Diego, CA · On-site

$118K - $139K/yr

... engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences ... Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ...

MarLabs

Computational Biology MLOps Engineer

Indianapolis, IN · On-site

$106K - $125K/yr

... engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences ... Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ...

Battelle

Computational Biologist

Columbus, OH · On-site

Identify new technical opportunities and contribute to the growth of protein engineering and computational biology capabilities * Support administrative and project management tasks that ensure ...

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How much do computational biology engineering intern jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for computational biology engineering intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What does a computational biology engineering intern do?

A Computational Biology Engineering Intern assists in developing and applying computational tools to analyze biological data, such as genomics, proteomics, or systems biology datasets. Their tasks often include writing code, running simulations, and interpreting large-scale biological information to support research projects. Interns typically work under the guidance of experienced scientists and engineers, learning industry-standard software and techniques. The role combines biology, computer science, and statistics, making it ideal for students interested in interdisciplinary work. This experience prepares interns for advanced roles in biotech, pharmaceuticals, or academic research.

What types of projects and collaborations can a computational biology engineering intern expect during their internship?

As a Computational Biology Engineering Intern, you can expect to work on projects involving data analysis, algorithm development, and software tool creation to support biological research. Interns often collaborate closely with biologists, data scientists, and software engineers to solve complex biological problems, such as genomic data interpretation or protein structure analysis. You may participate in regular team meetings, contribute to research publications, and present your findings to both technical and non-technical stakeholders. This collaborative environment provides valuable exposure to interdisciplinary teamwork and offers opportunities to learn from experienced professionals in both computational and biological sciences.

What are the key skills and qualifications needed to thrive as a computational biology engineering intern, and why are they important?

To thrive as a Computational Biology Engineering Intern, you typically need a background in biology, computer science, or bioinformatics, along with strong analytical and problem-solving skills. Familiarity with programming languages such as Python or R, experience with bioinformatics tools, and knowledge of data analysis software are often required. Strong communication, teamwork, and adaptability are important soft skills for collaborating on multidisciplinary projects. These skills ensure accurate data interpretation, effective collaboration, and meaningful contributions to research and development efforts.

What are popular job titles related to Computational Biology Engineering Intern jobs?

For Computational Biology Engineering Intern jobs, the most frequently searched job titles are:

Infographic showing various Computational Biology Engineering Intern job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Computational Biology/Bioinformatician

Baltimore, MD • On-site

Attaineo Search, Inc.
See more jobs at Attaineo Search, Inc.external

Full-time

Re-posted 16 days ago

Job description


Position: Computational Biologist/Bioinformatician
Location: Baltimore, Maryland (Remote)
We are actively seeking a Computational Biologist/Bioinformatician to augment our R&D team. Our focus is on innovating advanced molecular diagnostics kits, devices, and methodologies for the analysis of biological data, reporting directly to the VP of Technology Development.
Key Responsibilities:
  • Pioneeringthe development of innovative software tools, algorithms, and analysispipelines to expedite the transition from concept to practical testing.
  • Leadingthe in-silico design and characterization of new molecular assays forinfectious diseases, leveraging qPCR and related technologies.
  • Supervisingthe conversion of extensive biological customer data into actionableinsights through data mining, advanced visualizations, and machinelearning.
  • Assistingthe R&D team in creating scripts for efficient calculations andproject management.
  • Directingthe company's overarching initiatives in the digitization of biology.

Requirements
  • Hold aMaster's or Ph.D. degree with a minimum of 3 years of relevant workexperience.
  • Possessextensive knowledge in computational biology or bioinformatics,mathematics, and computer programming.
  • Capabilityto work independently on complex and challenging projects.
  • Proficiencyin and a passion for data visualization and effective communication ofdata science findings.
  • Demonstrableexperience with data science toolkits, machine learning, statisticalmodeling, and tool development.
  • Solidunderstanding of developing ML and statistical models for real-worldapplications.
  • Strongprogramming skills in Python and/or R; familiarity with Rust is a plus.
  • Experiencewith Linux High Performance Computing (HPC) cluster is advantageous.

Apply